scholarly journals Body Composition and Selected Nutritional Indicators in Healthy Adults—A Cross-Sectional Study

2021 ◽  
Vol 10 ◽  
pp. 216495612110217
Author(s):  
Paweł Więch ◽  
Zdzisława Chmiel ◽  
Dariusz Bazaliński ◽  
Marek Sobolewski ◽  
Izabela Sałacińska

Background Body mass composition is subject to constant change and is multifactorially determined. Its analysis in different age groups allows a better understanding of the determinants of the human organism in health and disease. Aim The study was aimed to conduct cross-sectional assessment of body composition and selected nutritional indicators in healthy adults. Methods The cross-sectional study carried out from March 2016 to April 2018 was preceded by a monthly pilot study. All 1333 adults (women 795, 59.6%) aged 20–59 included in the study were from the urban and rural area of the Podkarpackie Province (Poland). These adults were classified into four 10-year age bands. To obtain reliable assessment, selected screening (anthropometry) and in-depth (bioelectrical impedance including phase angle and bioelectrical impedance vector analysis) methods were used. Results In women, the proportion of individuals affected by overweight and obesity increases significantly with age, with a less pronounced trend in men, as reflected in the observed differences in individual body composition components. A slight (0.45–0.60) correlation was also observed between body mass index (BMI) and percentage of fat mass (FM %) among men with an increasing strength of the association with age, decreasing in the 50–59 years group. In the female group, the correlations described are at a much higher level (0.80 or higher). The described changes in body composition were reflected in body type from athletic to obese, measured by means of the bioelectrical impedance vector analysis (BIVA) method. Conclusions Age and gender significantly differentiate body composition of the adult human body. The body composition analysis should be considered as complement screening assessment method, especially as a support for the assessment of nutritional status expressed by BMI.

2010 ◽  
Vol 104 (10) ◽  
pp. 1508-1513 ◽  
Author(s):  
Ana V. B. Margutti ◽  
Jacqueline P. Monteiro ◽  
José S. Camelo

Bioelectrical impedance vector analysis (BIVA) is a new method that is used for the routine monitoring of the variation in body fluids and nutritional status with assumptions regarding body composition values. The aim of the present study was to determine bivariate tolerance intervals of the whole-body impedance vector and to describe phase angle (PA) values for healthy term newborns aged 7–28 d. This descriptive cross-sectional study was conducted on healthy term neonates born at a low-risk public maternity. General and anthropometric neonatal data and bioelectrical impedance data (800 μA–50 kHz) were obtained. Bivariate vector analysis was conducted with the resistance–reactance (RXc) graph method. The BIVA software was used to construct the graphs. The study was conducted on 109 neonates (52·3 % females) who were born at term, adequate for gestational age, exclusively breast-fed and aged 13 (sd 3·6) d. We constructed one standard, reference, RXc-score graph and RXc-tolerance ellipses (50, 75 and 95 %) that can be used with any analyser. Mean PA was 3·14 (sd 0·43)° (3·12 (sd 0·39)° for males and 3·17 (sd 0·48)° for females). Considering the overlapping of ellipses of males and females with the general distribution, a graph for newborns aged 7–28 d with the same reference tolerance ellipse was defined for boys and girls. The results differ from those reported in the literature probably, in part, due to the ethnic differences in body composition. BIVA and PA permit an assessment without the need to know body weight and the prediction error of conventional impedance formulas.


Nutrition ◽  
2018 ◽  
Vol 53 ◽  
pp. 49-53 ◽  
Author(s):  
Juan Antonio Pineda-Juárez ◽  
Mariel Lozada-Mellado ◽  
Midori Ogata-Medel ◽  
Andrea Hinojosa-Azaola ◽  
Cira Santillán-Díaz ◽  
...  

2019 ◽  
Vol 30 ◽  
pp. 59-66 ◽  
Author(s):  
Amara Callistus Nwosu ◽  
Catriona R. Mayland ◽  
Stephen Mason ◽  
Trevor F. Cox ◽  
Andrea Varro ◽  
...  

Nutrition ◽  
2014 ◽  
Vol 30 (5) ◽  
pp. 569-574 ◽  
Author(s):  
Carolina Ferreira Nicoletti ◽  
José Simon Camelo ◽  
José Ernesto dos Santos ◽  
Julio Sergio Marchini ◽  
Wilson Salgado ◽  
...  

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